Problem

Vector addresses a core failure in B2B advertising: poor targeting, wasted spend, bot traffic, anonymous engagement, and the erosion of third-party-cookie-based measurement. Traditional account-based marketing often tells teams that an account is showing intent without identifying the person to contact, while marketers still have to prove that ad budgets created meaningful pipeline.

The main use case is turning otherwise vague buying signals into actionable audiences of named prospects. A demand-generation team can identify an ICP contact who visited its site, clicked an ad, or researched a competitor, target that person directly, and give sales a concrete follow-up—even when the prospect never fills out a form.

Product / Service

Vector is a contact-level advertising platform for B2B demand-generation and ABM teams. It combines activity from a company’s website, CRM, advertising, and other data sources, matches that activity to verified contacts, filters the audience by ICP characteristics and buying stage, and produces dynamic audiences that can be pushed to LinkedIn, Google, Meta, Reddit, and other advertising channels.

The product also reveals who clicked or engaged by name, title, and company, allowing marketers to measure real ICP engagement rather than relying only on account scores or anonymous clicks. It is sold as a paid SaaS product through plans priced at roughly $399–$999 per month, scaled by identified-visitor volume, with demo-led onboarding. Vector says its emerging AI layer will orchestrate buyer journeys and help marketers optimize campaigns and prove pipeline impact faster.

Market

Vector competes in B2B advertising, contact-level targeting, account-based marketing, and buyer-intent software. Its clearest named competitor is 6sense: Vector positions itself against 6sense’s account-level intent scores by emphasizing named contacts, audience previews, higher match rates, and visibility into who actually clicked. Broader ABM platforms such as Demandbase are adjacent alternatives, but Vector’s differentiation is its focus on person-level activation rather than account-level prediction alone.

The company appears commercially deployed rather than pre-revenue. Its first product attracted four companies on day one and four more on day two; its current site cites OpenBrand, Goldcast, and Klue customer outcomes, including 7.8% LinkedIn CTR, 3x lower cost per click, 17x ROI in three months, and 3x CTR with Vector audiences. Vector was founded in 2022, participated in Y Combinator’s Winter 2023 batch, and announced a $10 million Series A led by SignalFire and HubSpot Ventures in May 2026. Public evidence does not disclose revenue.